Processing one-stationary bistatic SAR data using inverse scaled Fourier transform

In bistatic synthetic aperture radar (SAR) with one stationary station, two-dimensional spatial variance is a major problem which should be handled. In this paper, an Inverse Scaled Fourier Transform (ISFT) imaging algorithm to deal with this problem is proposed. The approach linearizes the two-dimensional spatiallyvariant point target reference spectrum to derive the reflectivity pattern's spectrum. Based on this spectrum, an ISFT along range direction and a frequency shift along azimuth direction are used to achieve the two-dimensional spatial variance correction. This method is efficient as it only uses phase multiplication and FFTs. Numerical simulations verified the effectiveness of the method.